Industrial robots have been one of the important building-elements in today’s automated manufacturing systems. Industrial practices show that robot motion accuracy and repeatability are the foundations for an industrial robot to successfully manipulate materials and workpieces in manufacturing productions. As new sensing functions and capabilities are embedded in current robot systems, the corresponding design and programming methods must be also developed to increase the robot motion flexibility and intelligence in industrial robot applications. Through the educational collaboration with the leader of industrial robots - FANUC Robotics, Inc. the author and his students have explored state-of-the-art technologies and applications of FANUC industrial robots in the Robotics Laboratory at Central Michigan University (CMU) since 2010. In this presentation, the author is to introduce his latest research results in programming industrial robot motions with new technologies of force sensor and machine vision. This includes developing new applied methods for intelligent assembly operations through the use of FANUC torque sensor and 2D vision systems. The conducted case study shows that the successful integration of force and vision control algorithms allows an FANUC industrial robot to interact to its working environment in a controlled manner. As a result, the FANUC robot is able to complete a complex manufacturing assembly operation through programed pushing force, hole searching, and phase matching. The application of the developed method opens the new way of using industrial robots in manufacturing automation for enhanced manufacturing processes and products.
|State||Published - May 27 2015|
|Event||The BIT's 4th Annual World Congress of Advanced Materials - Chongqing, China|
Duration: May 27 2015 → May 27 2015
|Conference||The BIT's 4th Annual World Congress of Advanced Materials|
|Period||05/27/15 → 05/27/15|